Valeria Donisi

Burnout, compassion fatigue, and compassion satisfaction among staff in community-based mental health services

Providing care to individuals with complex mental health needs can be stressful. However, little research has focused on the emotional, cognitive, and physical consequences of providing mental health care. The aim of this study is to assess burnout (BO), compassion fatigue (CF) and compassion satisfaction (CS) among staff at the four community-based mental health services (CMHS) of Verona, Italy. All staff were asked to complete anonymously the Professional Quality of Life Scale, the General Health Questionnaire, and a socio-demographic questionnaire. In total 260 staff participated (a response rate of 84%). Psychiatrists and social workers were the professionals with the highest levels of BO and CF. Workers with psychological distress reported both higher BO and CF scores, and lower levels of CS. A significant increase in the BO and CF scores was also detected for each extra year spent working in a CMHS. A higher level of CF was associated with female and having been experienced one negative life event in the previous year. These findings are useful for health managers and team leaders to identify factors affecting the professional quality of life of mental healthcare staff, and can provide a rationale for detecting staff at risk for developing negative work-related outcomes.

DRGs and other patient-, service- and area-level factors influencing length of stay in acute psychiatric wards: the Veneto Region experience

PurposeThis study aimed to identify services-related and area-based measures together with socio-demographic factors that could improve diagnosis-related groups in explaining length of stay variability in general hospital psychiatric units in Veneto Region (North East of Italy).MethodsData were collected from the regional hospital discharge records database. A hierarchical multiple regression model with only diagnosis-related groups as predictors of actual and ln-transformed length of stay was compared with a second model in which patient-, service- and area-level variables were included. Local health district was used as group-level in the hierarchical multiple regression analysis.ResultsThe only diagnosis explains 6.4% of actual length of stay total variance (14.8% for ln-transformation). In the second model length of stay resulted related also to gender, age, severity of hospitalization, patient’s local health district, number of psychiatrists, psychologists, hospital attendants/nurses, social workers and educators in the general hospital psychiatric units, number of outpatients in each local health district and percentages of divorced and single people, with almost a 2% point increase on actual length of stay in explained variance (5% point increase for ln-transformation).ConclusionsFor the first time the hospital discharge card regional survey of all public acute inpatient psychiatric facilities in Veneto Region were used. The innovative aspect of this study was the attempt to investigate the relationship between length of stay and other indexes, characterizing not only the inpatient facilities, but also the resident population structure in each area. The information about factors that influence length of stay can be useful to inform service planning and resource allocation.

Prediction of community mental health service utilization by individual and ecological level socio-economic factors

Individuals with a more deprived socioeconomic status (SES) are more likely to have higher rates of psychiatric morbidity and use of psychiatric services. Such service use is also influenced by socioeconomic factors at the ecological level. The aim of this article is to investigate the influence of these variables on service utilization. All patients in contact with three Italian community psychiatric services (CPS) were included. Community and hospital contacts over 6 months were investigated. Socio-economic characteristics were described using a SES Index and two new Resources Accessibility Indexes. Low SES was found to be associated with more community service contacts. When other individual and ecological variables were controlled for, SES was negatively associated only with the number of home visits, which was about half the rate in deprived areas. An association between service utilization and the resources of the catchment area was also detected. The economic crisis in Europe is increasing inequality of access, so paying attention to SES characteristics at both the individual and the ecological levels is likely to become increasingly important in understanding patterns of psychiatric service utilization and planning care accordingly.

Pre-discharge factors predicting readmissions of psychiatric patients: a systematic review of the literature

BackgroundReadmission rate is considered an indicator of the mental health care quality. Previous studies have examined a number of factors that are likely to influence readmission. The main objective of this systematic review is to identify the studied pre-discharge variables and describe their relevance to readmission among psychiatric patients.MethodsStudies on the association between pre-discharge variables and readmission after discharge with a main psychiatric diagnosis were searched in the bibliographic databases Ovid Medline, PsycINFO, ProQuest Health Management and OpenGrey. Relevant publications published between January 1990 and June 2014 were included. For each variable, the number of papers that considered it as a predictor of readmission and that found a significant association was recorded, together with the association direction and whether it was found respectively in bivariate and in multivariate analyses.ResultsOf the 734 articles identified in the search, 58 papers were included in this review, mainly from the USA and concerning patients with severe mental disorders. Analysed variables were classified according to the following categories: patients’ demographic, social and economic characteristics; patients’ clinical characteristics; patients’ clinical history; patients’ attitude and perception; environmental, social and hospital characteristics; and admission and discharge characteristics. The most consistently significant predictor of readmission was previous hospitalisations. Many socio-demographic variables resulted as influencing readmission, but the results were not always homogeneous. Among other patients’ clinical characteristics, diagnosis and measures of functional status were the most often used variables. Among admission characteristics, length of stay was the main factor studied; however, the results were not very consistent. Other relevant aspects resulted associated with readmission, including the presence of social support, but they have been considered only in few papers. Results of quality assessment are also reported in the review. The majority of papers were not representative of the general psychiatric population discharged from an inpatient service. Almost all studies used multivariate analytical methods, i.e., confounders were controlled for, but only around 60% adjusted for previous hospitalisation, the variable most consistently considered associated to readmission in the literature.ConclusionsThe results contribute to increase knowledge on pre-discharge factors that could be considered by researchers as well as by clinicians to predict and prevent readmissions of psychiatric patients. Associations are not always straightforward and interactions between factors have to be considered.

Is the implementation of assertive community treatment in a low-income country feasible? The experience of Tbilisi, Georgia

BackgroundIn Georgia, difficult socioeconomic conditions have resulted in a drastic decrease in government financing for the health sector. State mental hospitals continue to be the main solution for the mentally ill, due to the severe lack of community-based services, and mental health services are inadequate to meet the needs of patients.MethodsAn experimental intervention of assertive community care was implemented with the aim to engage socially isolated patients who lacked contact with outpatient services and to answer their different social and psychological needs. The intervention lasted 10 months and consisted of outpatient visits, visits at home, meetings outside and telephone calls to the services’ facilities; all services were provided by a multidisciplinary team. The intervention was conducted in a psychiatric dispensary in the district of Tbilisi, Georgia.ResultsThis pilot study showed the economic sustainability of community care and its effectiveness to facilitate continuity of care and to improve clinical and social outcomes.ConclusionsHigh-quality community care costs less than usual treatment and inpatient care and seems to be effective to improve clinical and social outcomes; for these reasons, policymakers should consider, in their future mental health reforms, allocating more resources to community-based care.

Pre- and post-discharge factors influencing early readmission to acute psychiatric wards: implications for quality-of-care indicators in psychiatry.

OBJECTIVE This study aims to describe the association between pre- and post-discharge factors and early readmission to acute psychiatric wards in a well-integrated community-based psychiatric service. METHODS The analysis consisted of all the hospital discharge records containing a psychiatric diagnosis in 2011 from four Italian acute inpatient wards. Socio-demographic, clinical, admission and aftercare variables were investigated as possible predictors of readmission at 7, 30 and 90 days after discharge and were analyzed, controlling for dependency among same-patient observations. RESULTS Previous psychiatric history was the most important predictor of readmissions. The socio-demographic and clinical characteristics of patients did not clearly influence readmission. Length of stay (LoS) was significant for readmission at 7 days even after controlling for other predictors and for same-patient dependence, in particular, for patients with previous admissions. Results suggest a protective role of a LoS higher than 28 days. In general, having a contact in community services did not turn out as protective from early readmission. CONCLUSIONS This paper contributes to increase the knowledge about factors that may predict the risk of early readmission. Implications for quality assessment in psychiatry emerged: readmission seems actionable by LoS and not by community follow-up.

Modelling the cost-effectiveness of pharmacotherapy compared with cognitive–behavioural therapy and combination therapy for the treatment of moderate to severe depression in the UK

BACKGROUND The National Institute of Health and Care Excellence (NICE) in England and Wales recommends the combination of pharmacotherapy and psychotherapy for the treatment of moderate to severe depression. However, the cost-effectiveness analysis on which these recommendations are based has not included psychotherapy as monotherapy as a potential option. For this reason, we aimed to update, augment and refine the existing economic evaluation. METHOD We constructed a decision analytic model with a 27-month time horizon. We compared pharmacotherapy with cognitive-behavioural therapy (CBT) and combination treatment for moderate to severe depression in secondary care from a healthcare service perspective. We reviewed the literature to identify relevant evidence and, where possible, synthesized evidence from clinical trials in a meta-analysis to inform model parameters. RESULTS The model suggested that CBT as monotherapy was most likely to be the most cost-effective treatment option above a threshold of £ 22,000 per quality-adjusted life year (QALY). It dominated combination treatment and had an incremental cost-effectiveness ratio of £ 20,039 per QALY compared with pharmacotherapy. There was significant decision uncertainty in the probabilistic and deterministic sensitivity analyses. CONCLUSIONS Contrary to previous NICE guidance, the results indicated that even for those patients for whom pharmacotherapy is acceptable, CBT as monotherapy may be a cost-effective treatment option. However, this conclusion was based on a limited evidence base, particularly for combination treatment. In addition, this evidence cannot easily be transferred to a primary care setting.

Differences in the use of involuntary admission across the Veneto Region: which role for individual and contextual variables?

AIMS The first aim of this study is to compare involuntary admissions across the Veneto Region in Italy. The second aim is to explore the relation between mental health services provision, characteristics of population, individual factors and involuntary admissions. METHODS For 21 Mental Health Departments (MHDs) in the Veneto Region (Italy), the average population prevalence rate of involuntary admissions between 2000 and 2007 and the percentage of involuntary admissions were calculated. Chi-square tests for equality of proportions were used to test hypotheses. Variables at the individual, contextual and organisational levels were used in multiple regressions, with the involuntary admission data as dependent variables. RESULTS The average prevalence rate of involuntary commitment was 12.75 ranging from 1.96 to 27.59 across MHDs . About 75% of the involuntary admissions referred to psychotic patients, and almost half of patients were aged 25-44. Significant differences among MHDs emerged; higher percentages of involuntary admissions were generally found in densely populated areas. Higher ageing indices and rates of social workers were found as predictors of the prevalence rate. In the multilevel regression, being males and psychotic significantly increased involuntary admissions, while the percentage of singles in population decreased it. CONCLUSIONS This study contributes to define the specific contribution of each factor predicting the use of involuntary admission, even within areas under the same legislation. It shows how the inclusion of both individual and contextual factors may lead to better predictions and provides precious data for the services improvement.

Monitoring mental healthcare on a system level: Country profiles and status from EU countries

AIMS Routinely collected data can be used to monitor the performance and improve the quality of mental healthcare systems. Data-based and system-level Quality Monitoring Programmes in Mental Health Care (QMP-MHC) are increasingly being implemented in EU countries. They are believed to be indispensable for the sustainable improvement of the quality of mental healthcare. However, there is a paucity of comparative research on national strategies in quality monitoring. This study explores the status of system-level Quality Monitoring Programmes in Mental Health Care (QMP-MHC) in EU countries. It aims to provide a descriptive overview, which is intended to be the first step for comparative research in this field. METHODS Case studies of system-level QMP-MHCs were gathered from eight EU countries. Experts from each country were asked to describe their approach using a template. These experts were all members of a Europe-wide network of researchers and members of public institutions involved in quality assessment and performance monitoring of mental healthcare. RESULTS Country profiles were gathered from England, Denmark, France, Germany, Italy, the Netherlands, Portugal, and Sweden. All these countries have - or are in the process of implementing - system-level QMP-MHCs. Implementation seems to be facilitated when a national performance monitoring programme for general healthcare is already in place, although in the Netherlands, a QMP-MHC was established without being attached to a general monitoring programme. All the monitoring programmes described use various quality and performance indicators; some systems enhance this methodology with the addition of qualitative assessment methods such as peer reviews linked to accreditation processes. CONCLUSIONS Research is needed to better understand the historical, political and technical backgrounds of the different national cases and to explore the effectiveness of different improvement mechanisms on the actual quality of healthcare. Policy makers and those designing performance measurement programmes are recommended to look across the borders of their own healthcare systems as there are many ways to assess performance and many ways to feedback results to service providers. No evidence is available whether one of these methods is superior to the others in improving the quality of mental healthcare.

Internet use for mental health information and support among European university students: The e-MentH project

The aim of the present study was to describe the socio-demographic variables associated with the use of the Internet for mental health information-seeking by European university students, including participants’ trust in the Internet, and their use of the Internet in comparison to traditional formal mental health care. A cross-sectional anonymous 25-item survey was conducted with 2466 students in three courses (Computer Science, Law, Nursing) from four European universities (France, Ireland, Italy, Spain). Participants were equally distributed in all four countries; they were mostly females (57.5%), with a mean age of 21.6 years. Overall, female, French and Nursing students were more likely to look for mental health information. The majority (69.7%) of students reported that information about mental health on the Internet was unreliable. Among all participants, Spanish students reported a higher trust in web content. The findings suggest that university students frequently use the Internet for mental health information-seeking but not for mental health support. Furthermore, they do not entirely trust the Internet for mental health-related issues. This should be considered in planning Internet-based programmes for mental health promotion and prevention in university students.